Title:
DEEP LEARNING-BASED GAIT PATTERN DETECTION METHOD AND COMPUTER PROGRAM PERFORMING SAME
Document Type and Number:
WIPO Patent Application WO/2023/163305
Kind Code:
A1
Abstract:
A computer program stored in a computer-readable storage medium according to one embodiment of the present invention includes instructions for causing a processor to perform the following steps in order to provide a method and program for detecting a gait pattern of a detection target on the basis of a three-dimensional coordinate analysis extracted from two-dimensional image data without equipment for measuring ground reaction force, wherein the steps include: a step of obtaining two-dimensional image data of the detection target and extracting three-dimensional coordinates on the basis of the two-dimensional image data, the three-dimensional coordinates including key points for the left/right hip joints, left/right ankles, and pelvis of the detection target; and a step of determining the number of steps per minute (cadence) of the detection target.
Inventors:
KIM JUNG YOON (KR)
YOU HYEON SEOK (KR)
BAE EUN KYUNG (KR)
YOU HYEON SEOK (KR)
BAE EUN KYUNG (KR)
Application Number:
PCT/KR2022/014152
Publication Date:
August 31, 2023
Filing Date:
September 22, 2022
Export Citation:
Assignee:
REMO INC (KR)
International Classes:
A61B5/11; A61B5/00; G06T7/20
Foreign References:
| KR102285632B1 | 2021-08-04 | |||
| KR20100111460A | 2010-10-15 | |||
| KR102336728B1 | 2021-12-08 | |||
| JP2010172394A | 2010-08-12 | |||
| JP2018206246A | 2018-12-27 | |||
| KR102421933B1 | 2022-07-19 |
Attorney, Agent or Firm:
JEONG, Seungkyo (KR)
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